Digital Twin Trust & Value Assessment for Manufacturing
Measures internal stakeholder trust, perceived accuracy, and operational value of digital twins across manufacturing functions. Identifies adoption barriers and investment priorities to guide program improvements.
What's Included
AI-Powered Questions
Intelligent follow-up questions based on responses
Automated Analysis
Real-time sentiment and insight detection
Smart Distribution
Target the right audience automatically
Detailed Reports
Comprehensive insights and recommendations
Template Overview
22
Questions
AI-Powered
Smart Analysis
Ready-to-Use
Launch in Minutes
This professionally designed survey template helps you gather valuable insights with intelligent question flow and automated analysis.
Sample Survey Items
Q1
Chat Message
Welcome, and thank you for participating in this survey about digital twins in our organization.
The purpose is to understand how digital twins are used, trusted, and valued across different functions. Your participation is entirely voluntary and you may stop at any time. All responses are confidential and will be reported only in aggregate — there are no right or wrong answers.
The survey takes approximately 5–7 minutes to complete.
Q2
Multiple Choice
What is your current level of involvement with our digital twins?
Hands-on user of a digital twin
Project owner or decision-maker
Collaborates occasionally with the twin team
Aware, not involved
Not familiar with digital twins
Q3
Dropdown
Which area best matches your current function?
Operations/Production
Maintenance/Asset Management
Quality
Process/Manufacturing Engineering
R&D/Product Engineering
IT/OT
Supply Chain/Planning
Other
Q4
Multiple Choice
Which data sources are currently integrated into the digital twin(s) you use or support? (Select all that apply)
PLC/SCADA data
IoT sensors (condition monitoring)
MES/production execution
ERP (orders, inventory)
CAD/BOM/PLM
Maintenance/CMMS
Simulation models
Not sure
Other
Q5
Multiple Choice
How are the digital twin's outputs validated in your area? (Select all that apply)
Compared with live production data
Backtesting with historical data
Subject matter expert sign-off
Automated drift/accuracy monitoring
Formal measurement and verification (M&V)
We do not validate today
Not sure
Q6
Opinion Scale
How accurately does the digital twin mirror current production conditions in your area?
Range: 1 – 7
Min: Not at all accuratelyMid: NeutralMax: Extremely accurately
Q7
Opinion Scale
Overall, how much do you trust the outputs from our digital twins today?
Range: 1 – 7
Min: No trust at allMid: NeutralMax: Complete trust
Q8
Opinion Scale
How useful is the digital twin for predicting or preventing production issues in your area?
Range: 1 – 7
Min: Not at all usefulMid: NeutralMax: Extremely useful
Q9
Opinion Scale
How useful is the digital twin for optimizing process parameters or throughput in your area?
Range: 1 – 7
Min: Not at all usefulMid: NeutralMax: Extremely useful
Q10
Opinion Scale
How useful is the digital twin for supporting planning, scheduling, or capacity decisions in your area?
Range: 1 – 7
Min: Not at all usefulMid: NeutralMax: Extremely useful
Q11
Opinion Scale
How useful is the digital twin for quality monitoring or root-cause analysis in your area?
Range: 1 – 7
Min: Not at all usefulMid: NeutralMax: Extremely useful
Q12
Ranking
Rank the following factors by how much they increase your trust in a digital twin (most to least important).
Drag to order (top = most important)
Transparent versioning and change history
Validation against ground truth data
Explainable recommendations/visibility into drivers
System uptime and performance
Clear ownership and support model
Q13
Multiple Choice
Which barriers most limit the adoption or impact of our digital twins today? (Select all that apply)
Data quality and availability
Integration with existing systems
User skills and training
Unclear ROI or business case
Security and compliance requirements
Model transparency/explainability
Tool usability
Change resistance/culture
Other (please specify)
Q14
Ranking
Rank the following areas by where investment would most improve digital twin trust and outcomes (most to least important).
Drag to order (top = most important)
Data quality and availability
Validation and accuracy monitoring
Explainability and transparency
User experience and training
Integration and performance
Governance, ownership, and support
Q15
Long Text
Are there any security or compliance risks related to our digital twins that you believe should be addressed? If so, please describe them briefly.
Max chars
Q16
Long Text
What is one metric you would use to judge the digital twin's usefulness in your area?
Max chars
Q17
AI Interview
Based on your responses in this survey, please share any additional thoughts or suggestions on how we can improve digital twin trust, usefulness, or adoption in your area.
AI InterviewLength: 2Personality: [Object Object]Mode: Fast
Reference questions: 5
Q18
Dropdown
Where is your primary work location/region?
North America
Europe
Asia-Pacific
Latin America
Middle East/Africa
Multiple regions
Prefer not to say
Q19
Dropdown
How many years have you worked in manufacturing or industrial operations?
0–2
3–5
6–10
11–15
16+
Prefer not to say
Q20
Multiple Choice
Which best describes your current role level?
Individual contributor
Team lead/Supervisor
Manager
Director or above
Consultant/Contractor
Prefer not to say
Q21
Multiple Choice
What best describes your primary work environment?
Shop floor
Office
Hybrid
Remote
Field/on-site customer locations
Prefer not to say
Q22
Chat Message
Thank you for your time and insight! Your responses will help us prioritize improvements to our digital twin program.
Frequently Asked Questions
What is QuestionPunk?
QuestionPunk is a lightweight survey platform for live AI interviews you control. It's fast, flexible, and scalable—adapting every question in real time, moderating responses across languages, letting you steer prompts, models, and flows, and even generating surveys from a simple prompt. Get interview-grade insight with survey-level speed across qual and quant.
How do I create my first survey?
Sign up, then decide how you want to build: let the AI generate a survey from your prompt, pick a template, or start from scratch. Choose question types, set logic, and preview before sharing.
How can I share surveys with my team?
Send a project link so teammates can view and collaborate instantly.
Can the AI generate a survey from a prompt?
Yes. Provide a prompt and QuestionPunk drafts a survey you can tweak before sending.
How long does support typically take to reply?
We reply within 24 hours—often much sooner. Include key details in your message to help us assist you faster.
Can I export survey results?
Absolutely. Export results as CSV straight from the results page for quick data work.